Ft Cboe Vest Etf Technical Analysis
| DFEB Etf | USD 48.31 0.46 0.96% |
As of the 8th of February, FT Cboe owns the Market Risk Adjusted Performance of 0.1255, standard deviation of 0.3099, and Downside Deviation of 0.3613. FT Cboe Vest technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices.
FT Cboe Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DFEB, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DFEBFT Cboe's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Investors evaluate FT Cboe Vest using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Cboe's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Cboe's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Cboe should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.
FT Cboe 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to FT Cboe's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of FT Cboe.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in FT Cboe on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding FT Cboe Vest or generate 0.0% return on investment in FT Cboe over 90 days. FT Cboe is related to or competes with FT Cboe, FT Cboe, First Trust, FT Cboe, First Trust, First Trust, and FT Cboe. Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange Options that r... More
FT Cboe Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure FT Cboe's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess FT Cboe Vest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3613 | |||
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.6296 |
FT Cboe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Cboe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Cboe's standard deviation. In reality, there are many statistical measures that can use FT Cboe historical prices to predict the future FT Cboe's volatility.| Risk Adjusted Performance | 0.0994 | |||
| Jensen Alpha | 0.0107 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1155 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FT Cboe's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
FT Cboe February 8, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0994 | |||
| Market Risk Adjusted Performance | 0.1255 | |||
| Mean Deviation | 0.2113 | |||
| Semi Deviation | 0.2104 | |||
| Downside Deviation | 0.3613 | |||
| Coefficient Of Variation | 698.17 | |||
| Standard Deviation | 0.3099 | |||
| Variance | 0.0961 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0107 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1155 | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.6296 | |||
| Downside Variance | 0.1305 | |||
| Semi Variance | 0.0443 | |||
| Expected Short fall | (0.21) | |||
| Skewness | 0.0496 | |||
| Kurtosis | 1.6 |
FT Cboe Vest Backtested Returns
At this point, FT Cboe is very steady. FT Cboe Vest retains Efficiency (Sharpe Ratio) of 0.15, which denotes the etf had a 0.15 % return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for FT Cboe, which you can use to evaluate the volatility of the entity. Please confirm FT Cboe's Downside Deviation of 0.3613, market risk adjusted performance of 0.1255, and Standard Deviation of 0.3099 to check if the risk estimate we provide is consistent with the expected return of 0.0455%. The etf owns a Beta (Systematic Risk) of 0.3, which means not very significant fluctuations relative to the market. As returns on the market increase, FT Cboe's returns are expected to increase less than the market. However, during the bear market, the loss of holding FT Cboe is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
FT Cboe Vest has modest predictability. Overlapping area represents the amount of predictability between FT Cboe time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of FT Cboe Vest price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current FT Cboe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
FT Cboe technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
FT Cboe Vest Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of FT Cboe Vest volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About FT Cboe Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of FT Cboe Vest on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of FT Cboe Vest based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on FT Cboe Vest price pattern first instead of the macroeconomic environment surrounding FT Cboe Vest. By analyzing FT Cboe's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of FT Cboe's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to FT Cboe specific price patterns or momentum indicators. Please read more on our technical analysis page.
FT Cboe February 8, 2026 Technical Indicators
Most technical analysis of DFEB help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for DFEB from various momentum indicators to cycle indicators. When you analyze DFEB charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0994 | |||
| Market Risk Adjusted Performance | 0.1255 | |||
| Mean Deviation | 0.2113 | |||
| Semi Deviation | 0.2104 | |||
| Downside Deviation | 0.3613 | |||
| Coefficient Of Variation | 698.17 | |||
| Standard Deviation | 0.3099 | |||
| Variance | 0.0961 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0107 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1155 | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.6296 | |||
| Downside Variance | 0.1305 | |||
| Semi Variance | 0.0443 | |||
| Expected Short fall | (0.21) | |||
| Skewness | 0.0496 | |||
| Kurtosis | 1.6 |
FT Cboe Vest One Year Return
Based on the recorded statements, FT Cboe Vest has an One Year Return of 11.3%. This is 23.9% higher than that of the First Trust family and significantly higher than that of the Defined Outcome category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.FT Cboe February 8, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as DFEB stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 1.15 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 48.13 | ||
| Day Typical Price | 48.19 | ||
| Price Action Indicator | 0.41 | ||
| Market Facilitation Index | 0.40 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in FT Cboe Vest. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in services. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Investors evaluate FT Cboe Vest using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Cboe's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Cboe's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Cboe should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.